SQL JOIN. A JOIN clause is used to combine rows from two or more tables, based on a related column between them. Notice that the "CustomerID" column in the "Orders" table refers to the "CustomerID" in the "Customers" table. The relationship between the two tables above is the "CustomerID" column.
If you are on SQL Server 2017 or Azure, see Mathieu Renda answer.
I had a similar issue when I was trying to join two tables with one-to-many relationships. In SQL 2005 I found that XML PATH
method can handle the concatenation of the rows very easily.
If there is a table called STUDENTS
SubjectID StudentName
---------- -------------
1 Mary
1 John
1 Sam
2 Alaina
2 Edward
Result I expected was:
SubjectID StudentName
---------- -------------
1 Mary, John, Sam
2 Alaina, Edward
I used the following T-SQL
:
SELECT Main.SubjectID,
LEFT(Main.Students,Len(Main.Students)-1) As "Students"
FROM
(
SELECT DISTINCT ST2.SubjectID,
(
SELECT ST1.StudentName + ',' AS [text()]
FROM dbo.Students ST1
WHERE ST1.SubjectID = ST2.SubjectID
ORDER BY ST1.SubjectID
FOR XML PATH ('')
) [Students]
FROM dbo.Students ST2
) [Main]
You can do the same thing in a more compact way if you can concat the commas at the beginning and use substring
to skip the first one so you don't need to do a sub-query:
SELECT DISTINCT ST2.SubjectID,
SUBSTRING(
(
SELECT ','+ST1.StudentName AS [text()]
FROM dbo.Students ST1
WHERE ST1.SubjectID = ST2.SubjectID
ORDER BY ST1.SubjectID
FOR XML PATH ('')
), 2, 1000) [Students]
FROM dbo.Students ST2
This answer may return unexpected results For consistent results, use one of the FOR XML PATH methods detailed in other answers.
Use COALESCE
:
DECLARE @Names VARCHAR(8000)
SELECT @Names = COALESCE(@Names + ', ', '') + Name
FROM People
Just some explanation (since this answer seems to get relatively regular views):
1) No need to initialize @Names
with an empty string value.
2) No need to strip off an extra separator at the end.
@Names
NULL after that row, and the next row will start over as an empty string again. Easily fixed with one of two solutions:DECLARE @Names VARCHAR(8000)
SELECT @Names = COALESCE(@Names + ', ', '') + Name
FROM People
WHERE Name IS NOT NULL
or:
DECLARE @Names VARCHAR(8000)
SELECT @Names = COALESCE(@Names + ', ', '') +
ISNULL(Name, 'N/A')
FROM People
Depending on what behavior you want (the first option just filters NULLs out, the second option keeps them in the list with a marker message [replace 'N/A' with whatever is appropriate for you]).
Starting with the next version of SQL Server, we can finally concatenate across rows without having to resort to any variable or XML witchery.
STRING_AGG (Transact-SQL)
Without grouping
SELECT STRING_AGG(Name, ', ') AS Departments
FROM HumanResources.Department;
With grouping:
SELECT GroupName, STRING_AGG(Name, ', ') AS Departments
FROM HumanResources.Department
GROUP BY GroupName;
With grouping and sub-sorting
SELECT GroupName, STRING_AGG(Name, ', ') WITHIN GROUP (ORDER BY Name ASC) AS Departments
FROM HumanResources.Department
GROUP BY GroupName;
One method not yet shown via the XML
data()
command in SQL Server is:
Assume a table called NameList with one column called FName,
SELECT FName + ', ' AS 'data()'
FROM NameList
FOR XML PATH('')
returns:
"Peter, Paul, Mary, "
Only the extra comma must be dealt with.
As adopted from @NReilingh's comment, you can use the following method to remove the trailing comma. Assuming the same table and column names:
STUFF(REPLACE((SELECT '#!' + LTRIM(RTRIM(FName)) AS 'data()' FROM NameList
FOR XML PATH('')),' #!',', '), 1, 2, '') as Brands
SELECT Stuff(
(SELECT N', ' + Name FROM Names FOR XML PATH(''),TYPE)
.value('text()[1]','nvarchar(max)'),1,2,N'')
you can use the FOR JSON syntax
i.e.
SELECT per.ID,
Emails = JSON_VALUE(
REPLACE(
(SELECT _ = em.Email FROM Email em WHERE em.Person = per.ID FOR JSON PATH)
,'"},{"_":"',', '),'$[0]._'
)
FROM Person per
And the result will become
Id Emails
1 [email protected]
2 NULL
3 [email protected], [email protected]
This will work even your data contains invalid XML characters
the '"},{"_":"'
is safe because if you data contain '"},{"_":"',
it will be escaped to "},{\"_\":\"
You can replace ', '
with any string separator
You can use the new STRING_AGG function
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